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Proceedings Papers

ROP Optimization of Lateral Wells in SW Oklahoma: Artificial Neural Network Approach

Haden P. Kolmer, Clark M. Cunningham, Mohammed F. Al-Dushaishi

Proc. ASME. OPTC2022, ASME 2022 Onshore Petroleum Technology Conference, V001T02A001, September 20–21, 2022

Paper No: OPTC2022-91464

DOI: https://doi.org/10.1115/OPTC2022-91464

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Topics: Artificial neural networks, Drilling, Optimization, Wells

Proceedings Papers

A Risk-Based Approach to Determine Mobile Offshore Drilling Unit Disconnect Criteria

Stian Garlid, Torfinn Hørte, Lorents Reinås

Proc. ASME. OMAE2022, Volume 2: Structures, Safety, and Reliability, V002T02A047, June 5–10, 2022

Paper No: OMAE2022-81122

DOI: https://doi.org/10.1115/OMAE2022-81122

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Topics: Mobile offshore drilling units, Risk, Vessels, Drilling, Dynamic response, Event history analysis, Ocean engineering, Probability, Water

Proceedings Papers

Numerical Simulation Research About the Influence of Nozzle Parameters on the Quality of Ice-Core in Hot-Water Ice-Drilling

An Liu, Zhigang Shan, Ting Shi, Weida Ni

Proc. ASME. OMAE2022, Volume 6: Polar and Arctic Sciences and Technology, V006T07A018, June 5–10, 2022

Paper No: OMAE2022-80173

DOI: https://doi.org/10.1115/OMAE2022-80173

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Topics: Computer simulation, Drilling, Heat transfer, Hot water, Ice, Nozzles

Proceedings Papers

Indentation Test Implementation for Rock Strength Correlation by Experimental Method and Simulation Using Distinct Element Method

Prajit Premraj, Zijian Li, Abdelsalam Abugharara, Stephen Butt

Proc. ASME. OMAE2022, Volume 9: Offshore Geotechnics, V009T10A015, June 5–10, 2022

Paper No: OMAE2022-79227

DOI: https://doi.org/10.1115/OMAE2022-79227

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Topics: Discrete element methods, Drilling, Failure, Rocks, Simulation, Computer software, Dimensions, Robustness, Rollers, Stress

Proceedings Papers

Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks

Adrian Ambrus, Sergey Alyaev, Nazanin Jahani, Felix James Pacis, Tomasz Wiktorski

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A010, June 5–10, 2022

Paper No: OMAE2022-79046

DOI: https://doi.org/10.1115/OMAE2022-79046

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Topics: Artificial neural networks, Drilling, Machine learning, Modeling, Optimization, Uncertainty, Architecture, Artificial intelligence, Climate, Decision making

Proceedings Papers

Optimizing Models for Predicting Torque on Bit Using Data From the Volve Field in Norway

Patrick Höhn, Ahmed Rahim Kreem Bashara, Carlos Paz, Joachim Oppelt

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A011, June 5–10, 2022

Paper No: OMAE2022-79543

DOI: https://doi.org/10.1115/OMAE2022-79543

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Topics: Drilling, Machine learning, Torque

Proceedings Papers

Well Path Design Using Q-Learning Algorithms and Bezier Curves With Obstacles Avoidance

Jie Cao, Samiul Ehsan Chowdhury, Tomasz Wiktorski, Dan Sui

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A007, June 5–10, 2022

Paper No: OMAE2022-78427

DOI: https://doi.org/10.1115/OMAE2022-78427

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Topics: Algorithms, Design, Drilling, Optimization, Reinforcement learning, Trajectories (Physics), Collisions (Physics), Engineers, Dynamic light scattering, Dynamic programming

Proceedings Papers

A Special Thread Design Based on TC4 Titanium Alloy and its Successful Application in Offshore Extended-Reach Drilling

Zhenkun Li, Qishuai Yin, Yingying Guo, Yang Long, Minshi Li, Xu Zhou, Shujun Guo, Fanhua Meng

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A091, June 5–10, 2022

Paper No: OMAE2022-80261

DOI: https://doi.org/10.1115/OMAE2022-80261

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Topics: Design, Drilling, Ocean engineering, Thread, Titanium alloys, Wells

Proceedings Papers

Dynamics of Gas Kick Migration in the Annulus While Drilling/Circulating

Chinemerem E. Obi, Kaushik Manikonda, Luis Abril, A. Rashid Hasan, Mohammad A. Rahman

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A089, June 5–10, 2022

Paper No: OMAE2022-79570

DOI: https://doi.org/10.1115/OMAE2022-79570

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Topics: Annulus, Bubbles, Drilling, Dynamics (Mechanics)

Proceedings Papers

Empirical Evaluation of Influence of pVARD on Drilling Performance Through Static, Dynamic, and Drilling Applications

Abdelsalam Abugharara, Shafaet Jamil, Stephen Butt

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A088, June 5–10, 2022

Paper No: OMAE2022-79349

DOI: https://doi.org/10.1115/OMAE2022-79349

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Topics: Compression, Drilling, Rocks, Springs

Proceedings Papers

A Generalized Model for Field Assessment of Particle Settling Velocity in Viscoelastic Fluids

Hongbo Chen, Ergun Kuru

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A071, June 5–10, 2022

Paper No: OMAE2022-78264

DOI: https://doi.org/10.1115/OMAE2022-78264

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Topics: Energy dissipation, Fluids, Particulate matter, Viscoelastic fluids, Viscoelasticity, Viscosity, Drilling, Elasticity, Hydraulics, Shear (Mechanics)

Proceedings Papers

Mitigation of Barite Sagging for Proper Well Control: Lab Investigation and Field Application

Vikrant Wagle, Abdullah AlYami

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A070, June 5–10, 2022

Paper No: OMAE2022-81450

DOI: https://doi.org/10.1115/OMAE2022-81450

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Topics: Density, Design, Drilling, Filtration, Flow (Dynamics), Fluids, Heat, Maintenance, Particulate matter, Pipes

Proceedings Papers

Design and Demonstration of Autonomous Directional Drilling With a Miniature Scale Rig

Magnus Steinstø, Gaute Hånsnar, Benedicte Gjersdal, Trygve Mikal Viga Skretting, Alexey Pavlov, Fred Florence

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A032, June 5–10, 2022

Paper No: OMAE2022-80314

DOI: https://doi.org/10.1115/OMAE2022-80314

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Topics: Design, Drilling, Bits (Tools), Control equipment, Drilling rigs, Engines, Manufacturing, Motors, Rocks, Stators

Proceedings Papers

A Deep Learning Model for Rate of Penetration Prediction and Drilling Performance Optimization Using Genetic Algorithm

Oney Erge, Murat Ozbayoglu, Evren Ozbayoglu

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A012, June 5–10, 2022

Paper No: OMAE2022-79623

DOI: https://doi.org/10.1115/OMAE2022-79623

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Topics: Drilling, Genetic algorithms, Optimization

Proceedings Papers

Modeling and Analysis of Non-Rotating Damping Subs for Removing Torsional Vibrations in Drilling

Adrian Ambrus, Ulf Jakob F. Aarsnes, Eric Cayeux, Rodica Mihai

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A084, June 5–10, 2022

Paper No: OMAE2022-78339

DOI: https://doi.org/10.1115/OMAE2022-78339

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Topics: Damping, Drill strings, Drilling, Modeling, Vibration

Proceedings Papers

Feasibility of Riser Emergency Disconnections During Drilling MPD Operations With Surface Back Pressure

Luan Richa, Germain Venero, Roberto Carvalho

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A069, June 5–10, 2022

Paper No: OMAE2022-80858

DOI: https://doi.org/10.1115/OMAE2022-80858

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Topics: Drilling, Emergencies, Pipeline risers, Pressure, Risers (Casting)

Proceedings Papers

Safety Evaluation Technique of Annular Pressure in Offshore High-Temperature High-Pressure Gas Wells

Yanjun Li, Shujie Liu, Deli Gao, Zhi Zhang, Yang Long

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A068, June 5–10, 2022

Paper No: OMAE2022-80748

DOI: https://doi.org/10.1115/OMAE2022-80748

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Topics: Drilling, High pressure (Physics), High temperature, Natural gas wells, Ocean engineering, Pressure, Safety

Proceedings Papers

Global Optimization Workflow for Offshore Drilling Rate of Penetration With Dynamic Drilling Log Data

Jie Cao, Hui Ren, Dan Sui

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A013, June 5–10, 2022

Paper No: OMAE2022-79747

DOI: https://doi.org/10.1115/OMAE2022-79747

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Topics: Drilling, Optimization, Underwater drilling, Workflow, Design, Machine learning, Artificial neural networks, Fluid dynamics, Genetic algorithms, String

Proceedings Papers

Evaluation and Interpretation on Data Driven ROP Models From Engineering Perspectives

Miguel Fernández Berrocal, Jie Cao, Dan Sui

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A009, June 5–10, 2022

Paper No: OMAE2022-78752

DOI: https://doi.org/10.1115/OMAE2022-78752

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Topics: Drilling, Dynamics (Mechanics), Errors, Evaluation methods, Machine learning, Model validation, Modeling, Optimization, Petroleum industry, Pressure

Proceedings Papers

A Comprehensive Evaluation of Rheological Models for Non-Aqueous Drilling Fluids

Ismail Hakki Gucuyener, Onur Kazim Gurcay, Samed Yanik

Proc. ASME. OMAE2022, Volume 10: Petroleum Technology, V010T11A075, June 5–10, 2022

Paper No: OMAE2022-78546

DOI: https://doi.org/10.1115/OMAE2022-78546

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Topics: Drilling, Fluids, Rheology

NARROW

ROP Optimization of Lateral Wells in SW Oklahoma: Artificial Neural Network Approach

A Risk-Based Approach to Determine Mobile Offshore Drilling Unit Disconnect Criteria

Numerical Simulation Research About the Influence of Nozzle Parameters on the Quality of Ice-Core in Hot-Water Ice-Drilling

Indentation Test Implementation for Rock Strength Correlation by Experimental Method and Simulation Using Distinct Element Method

Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks

Optimizing Models for Predicting Torque on Bit Using Data From the Volve Field in Norway

Well Path Design Using Q-Learning Algorithms and Bezier Curves With Obstacles Avoidance

A Special Thread Design Based on TC4 Titanium Alloy and its Successful Application in Offshore Extended-Reach Drilling

Dynamics of Gas Kick Migration in the Annulus While Drilling/Circulating

Empirical Evaluation of Influence of pVARD on Drilling Performance Through Static, Dynamic, and Drilling Applications

A Generalized Model for Field Assessment of Particle Settling Velocity in Viscoelastic Fluids

Mitigation of Barite Sagging for Proper Well Control: Lab Investigation and Field Application

Design and Demonstration of Autonomous Directional Drilling With a Miniature Scale Rig

A Deep Learning Model for Rate of Penetration Prediction and Drilling Performance Optimization Using Genetic Algorithm

Modeling and Analysis of Non-Rotating Damping Subs for Removing Torsional Vibrations in Drilling

Feasibility of Riser Emergency Disconnections During Drilling MPD Operations With Surface Back Pressure

Safety Evaluation Technique of Annular Pressure in Offshore High-Temperature High-Pressure Gas Wells

Global Optimization Workflow for Offshore Drilling Rate of Penetration With Dynamic Drilling Log Data

Evaluation and Interpretation on Data Driven ROP Models From Engineering Perspectives

A Comprehensive Evaluation of Rheological Models for Non-Aqueous Drilling Fluids

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